A simple graphical approach to presenting results from nonlinear regression models is described. In the face of multiple covariates, 'partial mean' plots may be unattractive. The approach here is portable to a variety of settings and can be tailored to the specific application at hand. A simple four variable nonparametric regression example is provided to illustrate the technique.
- Gradient estimation
- Kernel smoothing
- Least squares cross validation
ASJC Scopus subject areas
- Economics and Econometrics